Put the ipynb file and html file in the github branch you created in the last assignment and submit the link to the commit in brightspace
from plotly.offline import init_notebook_mode
import plotly.io as pio
import plotly.express as px
init_notebook_mode(connected=True)
pio.renderers.default = "plotly_mimetype+notebook"
#load data
df = px.data.gapminder()
df.head()
| country | continent | year | lifeExp | pop | gdpPercap | iso_alpha | iso_num | |
|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | Asia | 1952 | 28.801 | 8425333 | 779.445314 | AFG | 4 |
| 1 | Afghanistan | Asia | 1957 | 30.332 | 9240934 | 820.853030 | AFG | 4 |
| 2 | Afghanistan | Asia | 1962 | 31.997 | 10267083 | 853.100710 | AFG | 4 |
| 3 | Afghanistan | Asia | 1967 | 34.020 | 11537966 | 836.197138 | AFG | 4 |
| 4 | Afghanistan | Asia | 1972 | 36.088 | 13079460 | 739.981106 | AFG | 4 |
Recreate the barplot below that shows the population of different continents for the year 2007.
Hints:
df_2007 = df[df['year']==2007]
# Group the filtered data by continent and calculate the sum of numeric columns
df_2007_continent_pop = df_2007.groupby('continent').sum(numeric_only=False)
# Create a bar chart using Plotly Express
fig = px.bar(df_2007_continent_pop,
x="pop",
y=df_2007_continent_pop.index,
orientation='h',
color=df_2007_continent_pop.index)
# Customize the layout of the chart: hide the legend
fig.update_layout(showlegend=False)
fig.show()
# YOUR CODE HERE
fig.update_layout(yaxis={"categoryorder": "total ascending"})
fig.show()
# YOUR CODE HERE
Add text to each bar that represents the population
fig.update_traces(textposition="outside", texttemplate='%{text:.2s}')
fig.show()
# YOUR CODE HERE
Thus far we looked at data from one year (2007). Lets create an animation to see the population growth of the continents through the years
df_continent_year = df.groupby(["continent", "year"], as_index=False).sum(numeric_only=False)
fig = px.bar(df_continent_year, x="pop", y="continent", color="continent",
animation_frame="year", animation_group="continent", range_x=[0,4000000000], orientation="h")
fig.update_layout(showlegend=False, yaxis={"categoryorder": "total ascending"})
fig.show()
# YOUR CODE HERE
Instead of the continents, lets look at individual countries. Create an animation that shows the population growth of the countries through the years
df_country_year = df.groupby(["country", "year"], as_index=False).sum(numeric_only=False)
fig = px.bar(df_country_year, x="pop", y="country", color="country",
animation_frame="year", animation_group="country", range_x=[0,1500000000], orientation="h")
fig.update_layout(showlegend=False, yaxis={"categoryorder": "total ascending"})
fig.show()
# YOUR CODE HERE
Clean up the country animation. Set the height size of the figure to 1000 to have a better view of the animation
fig.update_layout(height=1000)
fig.show()
# YOUR CODE HERE
amount_of_countries = df["country"].nunique()
fig.update_layout(height=450)
fig.update_yaxes(range=[amount_of_countries-10.5, amount_of_countries-0.5])
fig.show()
# YOUR CODE HERE